bioRxivEvolutionary BiologyPreprint
Population genomics of Pocillopora corals: insights from RAD-sequencing
D. Aurelle, M. Pratlong, N. Oury, A. Haguenauer, P. Gelin, H. Magalon, M. Adjeroud, P. Romans, J. Vidal-Dupiol, M. Claereboudt, C. Nous, L. Reynes, E. Toulza, F. Bonhomme, G. Mitta, P. pontarotti
Abstract
Scleractinian corals are of great ecological interest as ecosystem engineer species. Accordingly, there is a wealth of studies on their adaptive abilities facing climate change. Such studies should rely on precise species and population delimitation. Nevertheless species delimitation in corals can be hindered by the lack of adequate genetic markers, by hybridization, and by morphological plasticity. Here we applied RAD sequencing to the study of species delimitation and genetic structure in populations of Pocillopora spp. from Oman and French Polynesia with the objectives to test primary species hypotheses based on mitochondrial DNA sequencing, and to study the genetic structure among sampling sites inside species. Regarding the varying levels of missing data observed among samples we tested different filtering strategy. The main genetic differentiation was observed between samples from Oman and French Polynesia, which also corresponded to different mitochondrial lineages and species hypotheses. In Oman, we did not observe any clear differentiation according to the main mitochondrial lineages considered here, nor between sampling sites. In French Polynesia where a single mitochondrial lineage was studied, we did not evidence any differentiation according to sampling sites. These results provide an additional example of the importance of using independent nuclear markers for the study of species delimitation. Our analyses also allowed the identification of clonal lineages in our samples, and to take them into account in our interpretations. We used simulations to study the impact of clonal reproduction on the distribution of statistics of genetic diversity and genetic structure among loci.
- assay: DNA methylation
- research focus: clustering
- research focus: variant calling
- research focus: benchmarking
- approach: experimental assay
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